Machine Learning with GitOps and Progressive Delivery

Paul Curtis ( @pfcurtis_NY), Weaveworks Solutions Architect based in New York City, recently presented an online talk on how GitOps and progressive delivery can be effectively used to manage machine learning models in Kubernetes. Many already know containers and Kubernetes, but not a lot are aware of service meshes. A service mesh is a layer in your Kubernetes cluster that is a combination of an ingress controller and routing daemon. It also allows you to route network traffic and control how pods and namespaces are interconnected. Service meshes can do load balancing, traffic switching and they also have a dynamic and programmable control plane.